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Wang, Tieliang
- Analyses of Diversion Water Input's Influence on Water Quality of Dahuofang Reservoir
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1 College of Water Resource, Shenyang Agricultural University, Shenyang, Liaoning, 110866, CN
1 College of Water Resource, Shenyang Agricultural University, Shenyang, Liaoning, 110866, CN
Source
Nature Environment and Pollution Technology, Vol 14, No 4 (2015), Pagination: 989-993Abstract
This paper selected Dahuofang Reservoir as the research area, analysed the relationship between water quality and diversion water input, determined the right weight of each index affected the water quality based on correlation analysis and entropy weight method. The results showed that after the diversion water input, the DO is 6739.17t, CODMn is 1735.00t, BOD is 625.83t, NH3-N is12.07t, TP is 12.5t, TN is 1860.75t, coliform-group is 1.38×1015. The correlation between the indexes of DO, CODMn, BOD, TN, coliform-group and water quality is significant after diversion water input. The affected right weights of the amount of TN, coliform-group and NH3-N input are more than 0.1, the highest right weight is of TN input (0.1804), followed by coliform-group (0.1173) and NH3-N (0.1165); the most slight one is TP (0.0164). In terms of comprehensive analysis, the influence of each index of diversion water input on water quality of Dahuofang reservoir, the order is TN>coliform-group>NH3-N>BOD>DO>CODMn>TP.Keywords
Dahuofang Reservoir, Diversion Water Input, Water Quality.Full Text
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- Water Quality Prediction Based on BP Neural Network at Dahuofang Reservoir, China
Abstract Views :137 |
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Authors
Affiliations
1 College of Water Resource, Shenyang Agricultural University, Shenyang, Liaoning, 110866, CN
1 College of Water Resource, Shenyang Agricultural University, Shenyang, Liaoning, 110866, CN
Source
Nature Environment and Pollution Technology, Vol 14, No 3 (2015), Pagination: 727-732Abstract
To ensure the safety of drinking water, understanding the trends of water quality in water resource and to provide a scientific basis for water quality management, a three-layer BP neural network is selected to simulate and predict six water quality indicators of the outbound of Dahuofang Reservoir. The six water quality indicators are dissolved oxygen, five days' biochemical oxygen demand, permanganate index, ammonia nitrogen, total nitrogen and total phosphorus. Training the model with water quality data from 2005 to 2011, Levenberg-Marguardt optimization algorithm is adopted to train samples. After reaching the error requirement, simulate the model with the water quality monitoring data in 2012 and test the model accuracy. Simulation results show that the accuracy of the model prediction is higher in 2012. It is proved that this model can be used to predict water quality of the outbound mouth in Fushun section, and the model provides a theoretical basis for improving the water quality of the reservoir area and can be used to guide the actual water quality management.Keywords
BP Neural Network, Water Quality Prediction, Simulation Dahuofang Reservoir.Full Text
- Effects of Different Water and Fertilizer Couplings on the Yield and Soil Environment of Greenhouse Tomatoes in Liaoning, China
Abstract Views :149 |
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Authors
Affiliations
1 College of Water Resource, Shenyang Agricultural University, No. 120 Dongling Road, Shenhe Area, Shenyang City, Liaoning Province, 110866, CN
1 College of Water Resource, Shenyang Agricultural University, No. 120 Dongling Road, Shenhe Area, Shenyang City, Liaoning Province, 110866, CN
Source
Nature Environment and Pollution Technology, Vol 15, No 1 (2016), Pagination: 141-146Abstract
There are increasingly serious ecological environmental pollution problems caused by the increased use of fertilizers in the process of agricultural production, therefore the rational application of fertilizers is a major way to prevent and control the pollution caused by fertilizers, so as to maximize the utilization efficiency and reduce the runoff and volatilization of fertilizers. The experiment was conducted in the greenhouse (LiaoShen I type) with different water and fertilizer couplings to establish yield models of tomatoes, monitor the index of soil environment and nutrients during the growth of tomatoes, and finally to search for optimal management modes of water and fertilizer. The results show that the optimum amount of nitrogen, phosphate and kalium fertilizer are 565kg/hm2, 375kg/hm2 and 150kg/hm2 respectively, with the irrigation quota of 200mm and the yield of tomato being 50000kg/hm2. The experimental coupling of water and fertilizer will provide a scientific guidance for the cultivation of greenhouse tomatoes with high yield, high efficiency and less pollution in Liaoning province.Keywords
Greenhouse Tomato, Water and Fertilizer Coupling, Yield Model, Soil Environment.Full Text
- Effects of Paper Mill Wastewater on Seedling Growth and Antioxidant System of Reeds
Abstract Views :136 |
PDF Views:0
Authors
Affiliations
1 College of Water Conservancy, Shenyang Agricultural University, Shenyang, Liaoning, 110866, CN
1 College of Water Conservancy, Shenyang Agricultural University, Shenyang, Liaoning, 110866, CN
Source
Nature Environment and Pollution Technology, Vol 14, No 2 (2015), Pagination: 379-384Abstract
Effects of different concentrations of wastewater (chemical oxygen demands of 300, 175 and 50 mg·L-1) from a paper mill on seedling growth and antioxidant system in reeds were tested in experimental pools that simulated the wetland ecosystem. Root length, biomass and moisture content, but not shoot moisture content and plant height, significantly increased with increases in wastewater concentration. At 300 mg·L-1, shoot biomass increased by 52.5% and ischolar_main biomass increased by 73.05% over the control. Malondialdehyde content, production rate of superoxide anions and hydrogen peroxide content all decreased with increasing concentration. At 300 mg·L-1, malondialdehyde content, production rate of superoxide anions and hydrogen peroxide content were 0.34, 0.24 and 0.16 times, respectively, those of the control in leaves and were 0.25, 0.19 and 0.17 times, respectively, those of the control in ischolar_mains. Superoxide dismutase, peroxidase and catalase activities and ascorbic acid and glutathione contents in reeds significantly increased with increasing concentrations of wastewater. These results suggest that a concentration of 300 mg·L-1 could improve the activities of antioxidant enzymes, inhibit the generation of reactive oxygen species and reduce the generation of malondialdehyde, thus effectively alleviating the damage caused by salinity in wetland soil.Keywords
Paper Mill Wastewater, Reactive Oxygen Species, Antioxidant, Seedling Growth.Full Text